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Robust fault diagnosis in power distribution systems based on fuzzy ARTMAP neural network-aided evidence theory
(Inst Engineering Technology-iet, 2012-11-01)
The present study proposes a methodology for the automatic diagnosis of short-circuit faults in distribution systems using modern techniques for signal analysis and artificial intelligence. This support tool for decision ...
Detección en tiempo real de fibrilación auricular en computador de placa reducida
(Fondo Editorial EIA - Universidad EIA, 2022-06-01)
El desarrollo de dispositivos portables, que permita la detección en tiempo real de fibrilación auricular, requiere la implementación de algoritmos de reconocimiento automático de patrones con la metodología adecuada para ...
Time series classification with representation ensembles
(SpringerCham, 2015)
Time series has attracted much attention in recent years, with thousands of methods for diverse tasks such as classification, clustering, prediction, and anomaly detection. Among all these tasks, classification is likely ...
Application of wavelet characteristics and gmdh neural networks for precise estimation of oil product types and volume fractions
(Multidisciplinary Digital Publishing Institute (MDPI)Switzerland, 2022)
A textural deep neural network architecture for mechanical failure analysis
(Bogotá - Ingeniería - Doctorado en Ingeniería - Ingeniería EléctricaUniversidad Nacional de Colombia - Sede Bogotá, 2020-06-21)
Nowadays, many classification problems are approached with deep learning architectures,
and the results are outstanding compared to the ones obtained with traditional computer
vision approaches. However, when it comes ...
Gender classification of faces using Adaboost
(SPRINGER-VERLAG BERLIN, 2006)
In this work it is described a framework for classifying face images using Adaboost and domain-partitioning based classifiers. The most interesting aspect of this framework is the capability of building classification ...